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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bhadoria, R.S. Arya, P.N. Dixit, M. |
| Copyright Year | 2011 |
| Abstract | The aim of this paper is focus discovering frequent patterns in Web log data and to obtain information about the navigational behavior of the users. Frequent pattern mining is researched area in the area of data mining. Using frequent pattern discovery methods in Web log data can result into good practices. Discovering hidden information from Web log data is called Web usage mining. The use of advertising purposes in creating dynamic user profiles etc. In this paper three pattern mining approaches are investigated from the Web usage mining point of view. The different patterns in Web log mining are page sets, page sequences and page graphs. |
| Starting Page | 750 |
| Ending Page | 753 |
| File Size | 412963 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457720338 |
| e-ISBN | 9780769545875 |
| DOI | 10.1109/CICN.2011.166 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-07 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Graph Mining Navigation USA Councils Web log mining Blogs Clustering algorithms Web mining Partitioning algorithms Pattern mining Sequence mining |
| Content Type | Text |
| Resource Type | Article |
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